Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 3
794-798

Feature selection algorithm for 3D visual guidance multi-channel motor imagery

Hu Min
Wang Zhiqiang
Huang Hongcheng
Li Chong
School of Communication & Information Engineering, Chongqing University of Posts & Telecommunications, Chongqing 400065, China
DOI: 10.19734/j.issn.1001-3695.2018.08.0630

Abstract

Concerning the problem that multi-channel motor imagery of BCI based on 3D visual guidance with more redundancy information and poor classification accuracy, this paper proposed a pattern classification method based on WPD-CSP-ADE for feature extraction of EEG. Firstly, this algorithm used WPD to divide the multi-channel motion imagery EEG signals into fine sub-bands. Secondly, it used CSP to obtain the eigenvectors corresponding to each subspace of WPD transformation. Finally, it selected the feature vectors through the ADE algorithm to obtain the best feature subsets for classification. Using WPD-CSP-ADE mode for feature extraction and selection, it has better performance in classification accuracy and number of features than the classic WPD-CSP method. At the same time, the classification performance of the proposed algorithm is significantly better than the genetic algorithm and particle swarm optimization algorithm. The experiments show that the WPD-CSP-ADE method can effectively improve the classification accuracy and reduce the number of features used for classification.

Foundation Support

重庆市科委基础与前沿研究计划项目(cstc2014jcyjA40039)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.08.0630
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 3
Section: Algorithm Research & Explore
Pages: 794-798
Serial Number: 1001-3695(2020)03-033-0794-05

Publish History

[2020-03-05] Printed Article

Cite This Article

胡敏, 王志强, 黄宏程, 等. 多通道三维视觉指导运动想象脑电信号特征选择算法 [J]. 计算机应用研究, 2020, 37 (3): 794-798. (Hu Min, Wang Zhiqiang, Huang Hongcheng, et al. Feature selection algorithm for 3D visual guidance multi-channel motor imagery [J]. Application Research of Computers, 2020, 37 (3): 794-798. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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